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Particle filters and beamforming for EEG source estimation

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Publication date1/06/2012
Host publicationNeural Networks (IJCNN), The 2012 International Joint Conference on
Place of publicationBrisbane, Australia
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Electronic)978-1-4673-1489-3
ISBN (Print)978-1-4673-1488-6
Original languageEnglish

Conference

Conference2012 IEEE World Congress on Computational Intelligence
CountryAustralia
CityBrisbane
Period10/06/1215/06/12

Conference

Conference2012 IEEE World Congress on Computational Intelligence
CountryAustralia
CityBrisbane
Period10/06/1215/06/12

Abstract

This is a proof of concept work that proposes a solution to the inverse problem of EEG source estimation by combining two techniques, namely a Particle Filter (PF) for geometrical (3D) localization of the most active brain zones (expressed by two dipoles) and a beamformer (BF) as a spatial filter for estimation of the oscillations that have originated the recorded EEG data. The estimation is reliable for uncorrelated brain sources.